Our Mission
To combine statistics, data science, and AI to build more capable, reliable, and useful intelligent systems.
Company Profile
Beijing Unified Data Intelligence Technology Co., Ltd. (hereinafter referred to as "Unified Data Intelligence" or "the Company" or “UDI”) is a technology company that combines statistics, data science, and artificial intelligence. We help organizations build AI systems that work with limited data, complex business constraints, and high requirements for reliability. Our Statistics × AI approach embeds statistical reasoning into AI workflows, making outputs more explainable, verifiable, and actionable.
Our Vision
To become a trusted technology partner for industrial AI and intelligent decision-making.
What Sets Us Apart
We combine statistical modeling, causal inference, uncertainty quantification, decision optimization, and foundation-model capabilities.
This enables AI to move beyond correlation and generation. It can explain the evidence behind an answer, assess cause and effect under explicit assumptions, quantify uncertainty, and recommend actions under real-world constraints.
Product Platform
MatNavis
Materials Science AI Agent Platform
Our Materials Science AI Agent Platform combines materials data, domain-specific algorithms, and foundation models to support an end-to-end R&D workflow—from data exploration and property prediction to inverse design, optimization, and experiment planning. It helps research teams work faster while keeping analyses transparent, reproducible, and traceable.
Materials data management and exploratory analysis- Property prediction and inverse design
- Constraint-aware optimization with AI-agent assistance
Turning Intelligence into Value Across Industrial Workflows
Industry Use Cases
We extract patterns from multi-source data, build reliable models from limited samples, and continuously improve them through feedback. Across R&D, production, operations, and business management, we connect data, models, decisions, actions, and feedback in a closed loop—so AI can support real work, not just generate text.
Learn More
R & D
Experimental design, sample-size planning, key-variable identification, formulation and process optimization, and confidence assessment of R&D results.
Production
Process-parameter analysis, quality and yield modeling, root-cause analysis, equipment risk alerts, and production-plan comparison.
Operations
Demand forecasting, resource allocation, operational strategy evaluation, and robust decision-making under multiple constraints.
Business Management
Business-driver attribution, scenario simulation, policy-effect evaluation, risk alerts, and decision auditability.News & Insights
Notice of 2026 X-AGI Conference
The 2026 X-AGI Conference is scheduled to be held at the Beijing Friendship Hotel from October 16th to 18th, 2026. With the them... ...
UDI Participates in the 4th Joint Conference on Statistics and Data ...
From July 11 to 13, 2026, the UDI team attended the 4th Joint Conference on Statistics and Data Science and the IMS China Bienni... ...
Why Vertical Industries Need Statistics × AI
When scaling laws meet limited data and high reliability requirements, statistical modeling becomes a key enabler of AI adoption... ...
Partners
Careers
If you are passionate about applying statistics, data science, and artificial intelligence to real-world problems, we would love to hear from you.
View Open Positions- A solid foundation in statistics, data science, artificial intelligence, large language models, or a related field.
- Strong learning ability, self-motivation, and a sense of responsibility.
- Strong communication and reflection skills, with proficiency in at least one programming language.
- Experience with coursework, research, competitions, or personal projects is a plus.
What We’re Looking For
